To investigate the state of brain function in post-stroke patients, and explore possible measurements to screen brain function after stroke.

Scale examination was performed on 104 patients with acute strokes who were admitted to the Department of Neurology, Xuanwu Hospital of Capital Medical University. The post-stroke cognition level and post-stroke emotional state were used to evaluate the brain function status of post-stroke patients. The concise mental state scale (MMSE) and the Chinese version of the Montreal Cognitive Assessment Scale (MoCA) were used to evaluate the post-stroke cognitive state, and the Hamilton depression scale (HAMD) and Hamilton anxiety scale (HAMA) were used to evaluate the post-stroke emotions. For the status, the IQCODE questionnaire for elderly cognitive impairment was selected as the initial screening tool for cognitive dysfunction after stroke. Non-parametric tests were used to compare the differences in the proportion of patients with cognitive and emotional abnormalities in different genders. The χ² test and t test were used to compare the differences of discrete and continuous variables between groups, respectively. The IQCODE recognition screening scale was performed on some patients, and the diagnostic efficacy of it in early prediction of post-stroke cognitive impairment was evaluated by the receiver operating characteristic curve.

Among the 104 patients included in this study, males accounted for 76.92% and females for 23.08%. There were 38 patients (36.54%, 38/104) evaluated by MMSE as cognitive abnormalities. According to HAMD and HAMA scales, there were 47 patients (45.19%, 47/104) with stroke and depression symptoms. The score of female patients with anxiety assessed by the HAMA scale after stroke is higher than that of males [11.5 (10.0) vs 7.0 (9.0)], the difference is statistically significant (Z=-2.481, P=0.013), while by MMSE, MoCA and HAMD, there was no statistically significant difference in the score between male and female (P＞0.05). The proportion of patients with depression and depression scores in the cognitively abnormal group were higher than the cognitively normal group [23(60.53%) vs 24(36.36%); (9.08±6.15)points vs (5.95±4.78)points], the differences were statistically significant (χ²=5.684, P=0.017; t=2.89, P=0.005); the cognitive anomaly group with anxiety score is higher than the normal cognitive group [(10.53±6.03) points vs (6.95±5.77) points], the differences are statistically significant (t=2.99, P=0.003). The difference between the anxiety scores of post-stroke depression patients and non-depression patients was statistically significant [(12.09±5.92) vs (5.11±4.12); t=7.067, P＜0.001]. Receiver operating characteristic curve analysis of IQCODE can be used to predict post-stroke cognitive impairment with the sensitivity of 72.22%, the specificity of 72.00%, and an area under the curve of 0.762.

After stroke, patients often have cognitive and emotional disorders of brain function. Cognitive disorders are common, and anxiety is more prominent in emotional disorders, but it is often accompanied by depression. IQCODE can be used to preliminary screening for post-stroke cognitive disorders.